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Assessing the Usefulness of Testing for Validating and Correcting Security Risk Models Based on Two Industrial Case Studies
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Author(s): Gencer Erdogan (SINTEF ICT, Norway & University of Oslo, Norway), Fredrik Seehusen (SINTEF ICT, Norway), Ketil Stølen (SINTEF ICT, Norway & University of Oslo, Norway), Jon Hofstad (EVRY, Norway)and Jan Øyvind Aagedal (Accurate Equity, Norway)
Copyright: 2016
Pages: 22
Source title:
Business Intelligence: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-9562-7.ch053
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Abstract
The authors present the results of an evaluation in which the objective was to assess how useful testing is for validating and correcting security risk models. The evaluation is based on two industrial case studies. In the first case study the authors analyzed a multilingual financial Web application, while in the second case study they analyzed a mobile financial application. In both case studies, the testing yielded new information which was not found in the risk assessment phase. In particular, in the first case study, new vulnerabilities were found which resulted in an update of the likelihood values of threat scenarios and risks in the risk model. New vulnerabilities were also identified and added to the risk model in the second case study. These updates led to more accurate risk models, which indicate that the testing was indeed useful for validating and correcting the risk models.
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